Advanced Certificate in Secure Smart Grid AI Networks
-- ViewingNowThe Advanced Certificate in Secure Smart Grid AI Networks is a comprehensive course designed to meet the growing industry demand for experts in smart grid technologies. This certificate program equips learners with essential skills in Artificial Intelligence (AI), Machine Learning (ML), and cybersecurity, specifically applied to smart grid networks.
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โข Fundamentals of Secure Smart Grid AI Networks: Overview of smart grid systems, AI networks, and security challenges. Introduction to key concepts, architectures, and protocols.
โข Advanced AI Techniques in Smart Grids: Exploration of AI techniques, including machine learning, deep learning, and neural networks, for smart grid optimization, control, and automation.
โข Cybersecurity Threats and Mitigation Techniques: Analysis of cybersecurity threats, vulnerabilities, and attacks in smart grid AI networks and countermeasure strategies to ensure resilience and protection.
โข Data Privacy and Compliance in Smart Grids: Examination of data privacy issues and regulations, such as GDPR and CCPA, in the context of smart grid AI networks, and strategies for ensuring compliance.
โข Secure Communication Protocols for Smart Grids: Study of secure communication protocols and standards, such as IEC 61850, IEC 62351, and IEEE 1686, for smart grid AI networks.
โข Intrusion Detection and Prevention Systems: Overview of intrusion detection and prevention systems (IDPS) and their application in smart grid AI networks, including signature-based, anomaly-based, and hybrid IDPS.
โข Physical Security for Smart Grids: Examination of physical security measures, such as access control, surveillance, and perimeter protection, for smart grid AI networks.
โข Smart Grid AI Networks Simulation and Testing: Hands-on experience with simulating and testing smart grid AI networks using tools and frameworks, such as OPAL-RT, PSCAD, and MATLAB.
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